1. Foundations and data workflow (Week 1)
- •Introduction to data science
- •Working with Python and R
- •Using SQL for data access
- •Setting up Anaconda and Jupyter Notebook
6840+ Job Posting Available
-Recruiters prefer to hire Inventateq Students - Join Inventateq NowPlacements in Data Science: 1,342
Data Science Training in Chicago with Certification
Learn data science in Chicago with Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Git, GitHub, and Docker. Build practical skills for analytics, machine learning, and project deployment with a course structure that follows real training and job outcomes.
4.7/5 from 1,432 reviews
Hands-on data science training in Chicago with live class support
Work with Python, SQL, Jupyter Notebook, Pandas, and NumPy
Learn machine learning with Scikit-learn, TensorFlow, Keras, and PyTorch
Build reporting and dashboard skills using Tableau and Power BI
Get resume help, interview prep, and certification guidance
Job Interview
Guarantee Program
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 90 Days + Placement
Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online
Free Session
1 Hour Training Session
Get Job with our Guaranteed Placement Support Program
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Placement Record
How We Have Placed 10,000+ Students ?
5 LPA
Sukumar Roy
5 LPA • Data Scientist
8 LPA
Jagjith Rathode
8 LPA • Machine Learning Engineer
4 LPA
Lipika Shah
4 LPA • AI Engineer
4 LPA
Kutumb Sharma
4 LPA • Associate Product Manager
5.55 LPA
Sima
5.55 LPA • Data Scientist
7.5 LPA
Jyoti
7.5 LPA • Data Engineer
8 LPA
Aqib
8 LPA • Data Engineer
10 LPA
Muskan
10 LPA • Machine Learning Engineer
5.7 LPA
Aliya
5.7 LPA • ML Engineer
7 LPA
Sai Krishna
7 LPA • MLOps Engineer
7 LPA
Rafiya
7 LPA • Data Scientist
Placement Assistance for Data Science Professionals in Chicago
Learning data science is only part of the outcome. You also need support to present your skills clearly, handle interviews, and match your profile to roles like data analyst, junior data scientist, BI analyst, and machine learning engineer in Chicago.
Our Signature Career Support:
- Resume support focused on data science projects, tools, and outcomes
- Mock interviews for analyst, BI, and machine learning roles
- Portfolio guidance using Python, SQL, Tableau, Power BI, and GitHub
- Career mentoring for entry-level and experienced job seekers
- Placement support aligned to data analyst, data scientist, and ML roles
Data Science Salary Insights in Chicago
Chicago companies hire for data science across analytics, finance, operations, marketing, and technology teams. As experience grows, compensation rises with stronger Python, SQL, machine learning, and deployment skills.
Average Salary by Experience
Data Science Salary Insights in Chicago
Chicago companies hire for data science across analytics, finance, operations, marketing, and technology teams. As experience grows, compensation rises with stronger Python, SQL, machine learning, and deployment skills.
Average Salary by Experience
Why Students Choose Our Data Science Course in Chicago?
4.7/5 Google Rating | 1,432+ Verified Reviews
4.7 / 5
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4.7 / 5
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4.7 / 5
By Sulekha Courses
4.7 / 5
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Success Result: Our students are competing at global levels. Watch their placement journey here.
Bigdata Hadoop Placement Success Stories
Data Engineering @ Accenture - 12 LPA
Student Honest Reviews for Tally Course
Junior Accountant @ Fortis - 8 LPA
What Students Say About Our SQL Course
SQL Developer @ Wipro - 10 LPA
Genuine Student Feedback on Our SalesForce Course
Salesforce Administrator @ Deloitte - 15 LPA
How Our RPA Course Helped Students Build Their Careers
RPA Developer @ IBM - 20 LPA
Learning to Getting Hired – Tableau Student Reviews
Tableau Developer @ Genpact - 20 LPA
Real Student Reviews for HR Course
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Authentic Student Experiences on our Anjular Js Course
Angular Developer @ Capgemini - 15 LPA
Honest Student Reviews for Data Science Course
Data Analyst @ Amazon - 25 LPA
What Students Say About the Java Course
Java Developer @ Oracle - 25 LPA
Student Video Review for CATIA Course
CATIA Design Engineer @ TATA Motors - 20 LPA
Authentic Student Reviews for AWS Course
AWS Solutions Architect @ Accenture - 25 LPA
Honest Opinions from Python Course Students
Python Developer @ Mphasis - 15 LPA
Real Student Reviews for Software Testing
QA Engineer @ HCLTech - 15 LPA
Devops Course Reviews & Placement Experiences
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketing Course Success Stories | Student Reviews
Digital Marketer @ Google - 20 LPA
Inventateq Classroom Tour
BTM Layout @ Inventateq - -
Students Who Took the First Step
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
Bigdata Hadoop Placement Success Stories
Data Engineering @ Accenture - 12 LPA
Student Honest Reviews for Tally Course
Junior Accountant @ Fortis - 8 LPA
What Students Say About Our SQL Course
SQL Developer @ Wipro - 10 LPA
Genuine Student Feedback on Our SalesForce Course
Salesforce Administrator @ Deloitte - 15 LPA
How Our RPA Course Helped Students Build Their Careers
RPA Developer @ IBM - 20 LPA
Learning to Getting Hired – Tableau Student Reviews
Tableau Developer @ Genpact - 20 LPA
Real Student Reviews for HR Course
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Authentic Student Experiences on our Anjular Js Course
Angular Developer @ Capgemini - 15 LPA
Honest Student Reviews for Data Science Course
Data Analyst @ Amazon - 25 LPA
What Students Say About the Java Course
Java Developer @ Oracle - 25 LPA
Student Video Review for CATIA Course
CATIA Design Engineer @ TATA Motors - 20 LPA
Authentic Student Reviews for AWS Course
AWS Solutions Architect @ Accenture - 25 LPA
Honest Opinions from Python Course Students
Python Developer @ Mphasis - 15 LPA
Real Student Reviews for Software Testing
QA Engineer @ HCLTech - 15 LPA
Devops Course Reviews & Placement Experiences
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketing Course Success Stories | Student Reviews
Digital Marketer @ Google - 20 LPA
Inventateq Classroom Tour
BTM Layout @ Inventateq - -
Students Who Took the First Step
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
0.0
GOOGLE RATING
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REVIEWS
4.7/5 · 1,432+ Verified Reviews
About Inventateq Data Science Training Institute in Chicago
Inventateq teaches data science in a practical sequence that starts with Python, SQL, Pandas, and NumPy and moves into Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, and deployment tools. The focus is on doing the work the way it is done in projects and interviews, not just reading theory.
We stand apart through our commitment to:
- Learn to clean, analyze, and visualize data with real tools
- Practice machine learning workflows from data prep to model building
- Work on projects that use Python, SQL, Tableau, and Power BI
- Get mentor feedback on assignments, projects, and interview answers
- Choose weekday, weekend, classroom, or online live batches
Live Online
Remote Learning
AI Online Live Classes
Our live online classes are available for Chicago learners who want flexibility without losing trainer access. You still get real-time sessions, practical assignments, and structured support across the same data science curriculum.
Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support
Data Science Training Program
Fresh graduates
Good fit if you want a structured start in data science, analytics, and machine learning.
Working professionals
Useful if you already work in reporting, IT, finance, or operations and want to move into data roles.
Career changers
Helps non-data backgrounds build Python, SQL, and analysis skills from the ground up.
Analysts
Suitable for BI, reporting, and Excel users who want stronger automation and modeling skills.
Anyone aiming for data roles
Fits learners targeting data analyst, data scientist, BI, or machine learning positions in Chicago.
Quick Highlights of Inventateq Data Science Course
Course Duration
Training type: Classroom and online live options
Learning style: Theory, practicals, assignments, and certification
Batch options: Weekday and weekend batches
Support: Free demo classes available
No prior data science experience is required to start.
Data Science Curriculum
W1
2. Data handling and analysis (Week 2)
- •Using Pandas for data manipulation
- •Applying NumPy for numerical work
- •Cleaning and preparing datasets
- •Working with Excel for basic data tasks
3. Data visualization and reporting (Week 3)
- •Building visuals in Tableau
- •Creating reports in Power BI
- •Presenting patterns from data
- •Turning analysis into clear business insights
4. Machine learning basics (Week 4)
- •Introduction to Scikit-learn
- •Understanding supervised and unsupervised learning
- •Training and evaluating simple models
- •Using feature and target variables correctly
5. Deep learning foundations (Week 5)
- •Working with TensorFlow
- •Building models in Keras
- •Using PyTorch for model development
- •Understanding neural network basics
6. Data engineering and databases (Week 6)
- •Working with MySQL and PostgreSQL
- •Using MongoDB for non-relational data
- •Introduction to Apache Spark
- •Introduction to Apache Hadoop
7. Version control and collaboration (Week 7)
- •Using Git for source control
- •Managing projects in GitHub
- •Sharing code and notebooks clearly
- •Working with organized project files
8. Cloud and deployment tools (Week 8)
- •Introduction to Docker
- •Working with AWS SageMaker
- •Using Google Cloud Vertex AI
- •Understanding model deployment basics
Rated 4.9/5
Why Inventateq for Data Science Training in Chicago?
Inventateq keeps the training practical from the first class. You learn the tools, complete assignments, and work through project-style tasks that make the data science path easier to apply in interviews and on the job.
Why Students Trust Inventateq Chicago
- Trainers explain concepts in a direct, workable way
- Curriculum matches the tools used in current data science jobs
- Supportive classes make it easier to ask questions and practice
- Assignments and projects build confidence with real tools
- Placement guidance helps learners move from training to interviews
Build Real Data Science Skills for Chicago Jobs
You leave the course with practical exposure to analysis, visualization, machine learning, and deployment tools. The training is meant to help you show work, not just talk about concepts.
Work with real data tools
Learn Python, SQL, Pandas, NumPy, and notebooks by doing the work directly in class and in assignments.
Build machine learning models
Use Scikit-learn, TensorFlow, Keras, and PyTorch to understand how models are created and evaluated.
Create dashboards and reports
Turn analysis into business-friendly output with Tableau and Power BI.
Handle data across systems
Practice with MySQL, PostgreSQL, MongoDB, Spark, and Hadoop for broader data workflows.
Show your work professionally
Use Git and GitHub to organize projects and present them clearly to recruiters.
Prepare for deployment conversations
Get introduced to Docker, AWS SageMaker, and Google Cloud Vertex AI so you can discuss practical model use.
Certification for Data Science Training
This certification validates that you have trained on the core data science stack and have completed practical work across analysis, modeling, reporting, and deployment basics. It gives recruiters a clearer view of the tools you can use in real projects.
Python, SQL, and data analysis skills
Earn this certificate upon successful completion of our training program.
Pandas, NumPy, and Jupyter Notebook workflow
Validate your skills with recognized industry credentials.
Scikit-learn, TensorFlow, Keras, and PyTorch basics
Earn this certificate upon successful completion of our training program.
Tableau, Power BI, Git, and GitHub usage
Validate your skills with recognized industry credentials.
Detailed Insights: Data Science Training in Chicago
Students Frequently Asked Questions
Is this data science course in Chicago suitable for beginners?
Yes. The course starts with core tools and basic workflow topics before moving into machine learning and deployment basics. If you are new to data science, the structured order helps you build confidence step by step.
Which tools are taught in the data science course?
The course includes Python, R, SQL, Anaconda, Jupyter Notebook, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Git, GitHub, Docker, AWS SageMaker, Google Cloud Vertex AI, MySQL, PostgreSQL, MongoDB, Spark, Hadoop, and Excel. These are the same kinds of tools used in practical analytics and data science work.
Will I get hands-on projects?
Yes. The syllabus is built around practical work, assignments, and project-style learning. You practice data handling, analysis, modeling, dashboards, and deployment-related topics, not just theory.
Does Inventateq provide placement assistance?
Yes. Placement support includes resume help, interview practice, and guidance for showing your projects professionally. The support is aligned with roles like data analyst, BI analyst, junior data scientist, and machine learning engineer.
Can working professionals join this data science training in Chicago?
Yes. The course is useful for people already working in reporting, IT, finance, operations, or business roles who want to move into data-focused work. Weekday and weekend batch options make it easier to attend alongside a job.
Is online training available for Chicago learners?
Yes. You can join live online training and follow the same practical curriculum from Chicago. The live format still includes trainer interaction, doubt clearing, and project-oriented learning.
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